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About

Ashwani Kharola is a control engineering and robotics researcher whose work centers on the stabilization and intelligent control of highly nonlinear, multivariable robotic systems. His research spans inverted pendulum dynamics, two-wheeled mobile robots, and single-wheeled robotic platforms, with a consistent emphasis on applying soft-computing techniques—including fuzzy logic, adaptive neuro-fuzzy inference systems (ANFIS), and artificial neural networks (ANNs)—to solve complex real-time control challenges. Kharola's most cited contribution, a 2016 comparative study of PID and fuzzy controllers for an inverted pendulum on an inclined surface (33 citations), established his reputation for rigorous benchmarking of classical versus intelligent control strategies. This work has become a reference point for researchers tackling unstable mechanical systems. His subsequent investigations into two-wheeled mobile robots, including real-time ANFIS-PID switching controllers and Arduino-based hardware implementations, demonstrate a clear trajectory from simulation-driven research toward practical, deployable robotics solutions. Across his portfolio, Kharola consistently bridges theoretical modeling—grounded in Newtonian mechanics and MATLAB/Simulink environments—with emerging AI-driven control architectures. His work on chatbot-integrated robotic control further reflects an interest in human-robot interaction. With cumulative citations exceeding 60, his contributions offer valuable insights for students and engineers designing intelligent controllers for unstable, real-world robotic systems.